A nnU-Net-based automatic segmentation of FCD type II lesions in 3D FLAIR MRI images by Shubham Joshi, Millie Pant, Millie Pant, Arnav Malhotra, Kusum Deep, Vaclav Snasel

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Association of lipoprotein(a) and LPA gene with calcific aortic valve disease by Xinyi Yu, Zean Fu, Minghuan Yu, Yibo Shi

“…AVC-related gene microarray data were obtained from the GEO database. The Gene Set Variation Analysis (GSVA) algorithm was used to synthetically score each gene set and analyze differences in pathways in the LPA gene high- and low-expression groups. …”
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Algorithm for Recognition of Small Air Targets by Trajectory Features in Passive Bistatic Radar by Dao Van Luc, A. A. Konovalov, Le Minh Hoang

“…Materials and methods. Experimental data on the trajectories of UAVs and birds obtained in a passive bistatic radar system are used. …”
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Long-term evolution of cosmic ray modulation: a comprehensive analysis of solar and heliospheric influences (1964–2024) by Rafik Sedrati, Dallel Bouchachi

“…This study provides a comprehensive analysis of galactic cosmic ray (GCR) modulation over six decades (1964–2024), covering Solar Cycles 20 through 25. Using an extensive data set of ground-based neutron monitor measurements, we examine the long-term evolution of GCR intensity about key solar and heliospheric parameters. …”
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Biases from Missing a Small Planet in High Multiplicity Systems by C. Alexander Thomas, Lauren M. Weiss, Matthias Y. He

“…One key difference between the synthetic and observed data sets is that the observed systems have more evenly spaced planets than the observation-bias-applied synthetic systems. …”
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Automated sleep staging using sequential XGBoost and multi-scale temporal fusion by Jiří Kuchyňka, Oldřich Vyšata

“…Developed from direct clinical experience in sleep scoring, where experts evaluate both brief events and broader stage transitions, the method prioritizes practical applicability in sleep medicine settings. The method was validated on a clinical dataset (224 polysomnographic recordings) and the Sleep-EDF expanded database, achieving accuracy rates of 81.5% (Cohen's kappa [κ] = 0.742) on clinical data and up to 91.5% (κ = 0.826) on Sleep-EDF data. …”
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Artificial Intelligence for Women and Child Healthcare: Is AI Able to Change the Beginning of a New Story? A Perspective by Patricia Takako Endo

“…Future efforts should focus on data standardization, AI model optimization for resource‐limited settings, and ethical considerations in clinical integration.…”
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Validating Ultra-Wideband Positioning System for Precision Cow Tracking in a Commercial Free-Stall Barn by Ágnes Moravcsíková, Zuzana Vyskočilová, Pavel Šustr, Jitka Bartošová

“…Results emphasise the need for careful system setup, regular updates, and context-aware data interpretation in commercial settings to maximise benefits in animal welfare monitoring.…”
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Artificial Intelligence for Automatic Pain Assessment: Research Methods and Perspectives by Marco Cascella, Daniela Schiavo, Arturo Cuomo, Alessandro Ottaiano, Francesco Perri, Renato Patrone, Sara Migliarelli, Elena Giovanna Bignami, Alessandro Vittori, Francesco Cutugno

“…Although proper pain evaluation is mandatory for establishing the appropriate therapy, self-reported pain level assessment has several limitations. Data-driven artificial intelligence (AI) methods can be employed for research on automatic pain assessment (APA). …”
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CRISPR-Cas for hepatitis virus: a systematic review and meta-analysis of diagnostic test accuracy studies by Zhenzhen Pan, Ling Xu, Zihao Fan, Feng Ren

“…The CRISPR-Cas system, renowned for gene editing, shows potential tool in virus detection. This systematic review and meta-analysis aims to evaluate the diagnostic accuracy of CRISPR-Cas-based tests for hepatitis viruses, aiming to provide evidence for their effectiveness in clinical settings.MethodsStudies from Web of Science, PubMed, and CNKI were analyzed. …”
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N-nitrosamine Impurities in Medicines: Toxicity, Formation Pathways, Methods of Determination, and Limits (Review) by P. P. Shchetinin, S. P. Senchenko, K. K. Gordeev

“…The data presented give a picture of the root causes of N-nitrosamine formation in medicinal products, as well as current detection and control methods used worldwide. …”
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Development of a Simple Dipstick Assay for Operational Monitoring of DDT. by Hanafy M Ismail, Vijay Kumar, Rudra P Singh, Christopher Williams, Pushkar Shivam, Ayan Ghosh, Rinki Deb, Geraldine M Foster, Janet Hemingway, Michael Coleman, Marlize Coleman, Pradeep Das, Mark J I Paine

“…Our aim was to develop a simple DDT insecticide quantification kit (IQK) for monitoring DDT levels in an operational setting.<h4>Methodology/ principle findings</h4>DDT quantification was based on the stoichiometric release of chloride from DDT by alkaline hydrolysis and detection of the released ion using Quantab chloride detection strips. …”
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A systematic review and meta-analysis study to evaluate the accuracy of various PCR methods for diagnosing brucellosis in animals and humans by Muhammad Shakeel Khaliq, Muhammad Hassan Mushtaq, Abdul Rehman

“…A systematic review and meta-analysis were performed in compliance with PRISMA guidelines, synthesizing data from 21 studies published from 1990 to 2022. …”
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HIV‐1 testing in the context of expanding PrEP modalities by Urvi M. Parikh, Jana L. Jacobs, Njambi Njuguna, Kristine Torjesen, John W. Mellors

“…Sensitive tests to detect single‐copy HIV‐1 RNA in plasma and integrated proviral DNA in blood mononuclear cells may be important methods to resolve ambiguous HIV‐1 diagnosis in research settings. …”
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Leveraging survival analysis and machine learning for accurate prediction of breast cancer recurrence and metastasis by Shahd M. Noman, Youssef M. Fadel, Mayar T. Henedak, Nada A. Attia, Malak Essam, Sarah Elmaasarawii, Fayrouz A. Fouad, Esraa G. Eltasawi, Walid Al-Atabany

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Choosing blocks for spatial cross-validation: lessons from a marine remote sensing case study by Andy Stock, Andy Stock

“…Training and testing data must be sufficiently separated to detect such failures and select models that make good predictions across the study region. …”
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Development of a Human-Centric Autonomous Heating, Ventilation, and Air Conditioning Control System Enhanced for Industry 5.0 Chemical Fiber Manufacturing by Madankumar Balasubramani, Jerry Chen, Rick Chang, Jiann-Shing Shieh

“…Digital twins facilitate scenario testing and optimization, while physical AI allows the system to learn from real-time data and simulations, ensuring adaptive control and continuous improvement for enhanced operational stability in complex industrial settings.…”
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Predictive models of influenza A virus lethal disease yield insights from ferret respiratory tract and brain tissues by Troy J. Kieran, Xiangjie Sun, Taronna R. Maines, Jessica A. Belser

“…However, few studies have evaluated how the frequency and magnitude of IAV replication at discrete tissues contribute to within-host phenotypic outcomes, limiting our ability to fully contextualize results from scheduled necropsy into risk assessment settings. Employing aggregated data from ferrets inoculated with > 100 unique IAV (both human- and avian-origin viruses, spanning H1, H2, H3, H5, H7, and H9 subtypes), we examined relationships between infectious virus detection in four discrete tissue types (nasal turbinate, lung, brain, and olfactory bulb [BnOB]) to clinical outcomes of IAV-inoculated ferrets, and the utility of including these discrete tissue data as features in machine learning (ML) models. …”
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Scalable quality control on processing of large diffusion-weighted and structural magnetic resonance imaging datasets. by Michael E Kim, Chenyu Gao, Nancy R Newlin, Gaurav Rudravaram, Aravind R Krishnan, Karthik Ramadass, Praitayini Kanakaraj, Kurt G Schilling, Blake E Dewey, David A Bennett, Sid O'Bryant, Robert C Barber, Derek Archer, Timothy J Hohman, Shunxing Bao, Zhiyuan Li, Bennett A Landman, Nazirah Mohd Khairi, Alzheimer’s Disease Neuroimaging Initiative, HABS-HD Study Team

“…Most efforts to reduce data QC time rely on quantitative outlier detection, which cannot capture every instance of algorithm failure. …”
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Clinical and epidemiological indicators and spatial analysis of leprosy cases in patients under 15 years old in an endemic area of Northeast Brazil: an ecological and time series s... by Márcio Bezerra Santos, Allan Dantas dos Santos, Aline Silva Barreto, Mariana do Rosário Souza, Marco Aurélio de Oliveira Goes, José Antônio Barreto Alves, Ikaro Daniel Carvalho Barreto, José-Rodrigo S Silva, Daniela Teles de Oliveira, Karina C G Machado de Araújo, Malcolm S Duthie, Amélia Ribeiro de Jesus

“…Objective This study aimed to analyse the clinical and epidemiological indicators, temporal trends and the spatial distribution of leprosy in patients under 15 years old in an endemic area of Northeast Brazil.Design Regional surveillance study of all reported cases.Setting State of Sergipe, endemic area of Northeast Brazil.Methods An ecological and time series study was conducted, based on secondary data reported by the Brazilian Information System on Notifiable Diseases for leprosy cases diagnosed in Sergipe state (2002–2015). …”
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